Scientist III

The successful candidate will contribute to drug discovery efforts through analysis of multiple disease-relevant data sets, as well as development of core informatics pipelines and data organization.

Duties and responsibilities:

• Strong scientific understanding and experience in bioinformatics analysis of and their implications in disease biology.
• Apply and develop innovative analysis approaches when standard methods are not adequate.
• Interpret and present analysis results to coworkers and collaborators.
• Technical knowledge of Next-Generation Sequencing (NGS) design and data analysis pipelines including CRISPR (preferable) and omics analysis.
• Follow relevant scientific literature to ensure use of optimal methods and understand emerging practices across the field.
• Communicates own work effectively orally and in writing; contributes to writing protocols, procedures, and technical reports.
• Reports and treats data with a high level of integrity and ethics.
• Complies with applicable regulations; Maintains proper records in accordance with SOPs and policies.

Skills:

• Programming experience with two or more programming languages including: Python, R for bioinformatics data analysis.
• Proficiency in working with bulk and single cells NGS data, bioinformatics databases including PPI, CRISPR, Proteomics, or Metabolome.
• Experience in biological pathways analysis, systems network biology a plus
• Experience in machine learning, especially deep learning a plus
• Two years hand on experience of bioinformatics data analysis.
• Good understand of Cancer Biology, Metabolisms, and Immunology.
• Ability to develop and benchmark machine learning ml algorithms.
• Experience in software and/or pipeline development a plus.

Education:

PhD/Master’s degree from an accredited institution with experience in a related scientific discipline (Genomics, Biostatistics, Bioinformatics and Biological Science preferred)